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Robot Operating System (ROS): The Complete Reference (Volume 2) (Studies in Computational Intelligence, 707)

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$192.77


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This volume is a follow-up to the first volume of the Springer book on Robot Operating System (ROS), which focuses on unmanned aerial vehicles (UAVs) and ROS. It is composed of tutorials, case studies, and research papers that provide supplementary material on developing robotic systems, algorithms, frameworks, and applications with ROS, making it an invaluable reference resource for ROS users, researchers, learners, and developers.

ROS is gradually becoming the go-to standard for developing robotics systems and applications. It is being integrated into almost all types of robots used in research and development, and multiple features are being added to it daily. Despite the rise of ROS, literature on it has not kept up with the vast amount of work being done with it by researchers and developers.

The book comprises 19 chapters that are divided into six parts. The first three chapters cover the control of UAVs with ROS, while the next three focus on controlling mobile robots. Part 3 describes recent work on integrating ROS with cloud, internet, and distributed systems, while Part 4 presents five case studies on service robots and field experiments. Signal processing tools for perception and sensing are discussed in Part 5, and the book concludes with Part 6, which introduces advanced simulation frameworks.

The wide-ranging topics discussed in this book makes it a distinctive and practical reference resource for ROS users, learners, researchers, and developers.

ASIN ‏ : ‎ 331954926X
Publisher ‏ : ‎ Springer; 1st ed. 2017 edition (June 7, 2017)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 672 pages
ISBN-10 ‏ : ‎ 9783319549262
ISBN-13 ‏ : ‎ 978-3319549262
Item Weight ‏ : ‎ 24.9 pounds
Dimensions ‏ : ‎ 6.14 x 1.44 x 9.21 inches

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Robot Operating System (ROS): The Complete Reference (Volume 2) (Studies in Computational Intelligence, 707)
Robot Operating System (ROS): The Complete Reference (Volume 2) (Studies in Computational Intelligence, 707)
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